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Activity Number:
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260
- SPEED: Environmental Statistics Methods and Applications, Part 2
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Type:
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Contributed
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Date/Time:
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Monday, July 29, 2019 : 3:05 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #307677
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Title:
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Spatially Informed Aggregation of Orbiting Carbon Observatory Measured XCO2 for Global Flux Inversion
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Author(s):
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Joaquim Teixeira*
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Companies:
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NASA Jet Propulsion Laboratory
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Keywords:
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Abstract:
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The Orbiting Carbon Observatory-2 (OCO-2) infers column averaged CO2 (XCO2) by measuring spectral radiance at very fine spatial resolutions (~1km in diameter). One of the fundamental uses of its data product is carbon flux inversion modelling, which relies on OCO-2’s global coverage to produce detailed maps of CO2 sources and sinks. Due to computational constraints, global flux inversion modelling requires data at courser resolution (~1 degree in diameter) than that provided by OCO-2. Current methods of aggregating OCO-2 data fail to take into account the underlying spatial process, as well as having no consideration of the associated uncertainty. We propose a method of producing 1-degree averages by modelling the XCO2 measurement as a gaussian process. After inferring the spatial covariance using a local variogram, we produce locally kriged block averages with their corresponding uncertainties.
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Authors who are presenting talks have a * after their name.
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